{"id":"https://openalex.org/W4389934352","doi":"https://doi.org/10.1109/tgrs.2023.3344787","title":"Texture-Aware Self-Attention Model for Hyperspectral Tree Species Classification","display_name":"Texture-Aware Self-Attention Model for Hyperspectral Tree Species Classification","publication_year":2023,"publication_date":"2023-12-19","ids":{"openalex":"https://openalex.org/W4389934352","doi":"https://doi.org/10.1109/tgrs.2023.3344787"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2023.3344787","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3344787","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057895402","display_name":"Nanying Li","orcid":"https://orcid.org/0000-0001-5219-1644"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"government","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Nanying Li","raw_affiliation_strings":["College of Computer Science and Software Engineering, Guangdong–Hong Kong–Macau Joint Laboratory for Smart Cities, Key Laboratory for Geo-Environmental Monitoring of Coastal Zone, Ministry of Natural Resources, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-5219-1644","affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Guangdong–Hong Kong–Macau Joint Laboratory for Smart Cities, Key Laboratory for Geo-Environmental Monitoring of Coastal Zone, Ministry of Natural Resources, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961","https://openalex.org/I211433327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012282514","display_name":"Shuguo Jiang","orcid":"https://orcid.org/0009-0001-9850-1043"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"government","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuguo Jiang","raw_affiliation_strings":["College of Computer Science and Software Engineering, Guangdong–Hong Kong–Macau Joint Laboratory for Smart Cities, Key Laboratory for Geo-Environmental Monitoring of Coastal Zone, Ministry of Natural Resources, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Guangdong–Hong Kong–Macau Joint Laboratory for Smart Cities, Key Laboratory for Geo-Environmental Monitoring of Coastal Zone, Ministry of Natural Resources, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961","https://openalex.org/I211433327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049779042","display_name":"Jiaqi Xue","orcid":"https://orcid.org/0000-0002-8000-994X"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"government","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaqi Xue","raw_affiliation_strings":["College of Computer Science and Software Engineering, Guangdong–Hong Kong–Macau Joint Laboratory for Smart Cities, Key Laboratory for Geo-Environmental Monitoring of Coastal Zone, Ministry of Natural Resources, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Guangdong–Hong Kong–Macau Joint Laboratory for Smart Cities, Key Laboratory for Geo-Environmental Monitoring of Coastal Zone, Ministry of Natural Resources, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961","https://openalex.org/I211433327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071555909","display_name":"Songxin Ye","orcid":"https://orcid.org/0000-0002-8895-8525"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"government","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Songxin Ye","raw_affiliation_strings":["College of Computer Science and Software Engineering, Guangdong–Hong Kong–Macau Joint Laboratory for Smart Cities, Key Laboratory for Geo-Environmental Monitoring of Coastal Zone, Ministry of Natural Resources, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Guangdong–Hong Kong–Macau Joint Laboratory for Smart Cities, Key Laboratory for Geo-Environmental Monitoring of Coastal Zone, Ministry of Natural Resources, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961","https://openalex.org/I211433327"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035753061","display_name":"Sen Jia","orcid":"https://orcid.org/0000-0001-9742-5037"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"government","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sen Jia","raw_affiliation_strings":["College of Computer Science and Software Engineering, Guangdong–Hong Kong–Macau Joint Laboratory for Smart Cities, Key Laboratory for Geo-Environmental Monitoring of Coastal Zone, Ministry of Natural Resources, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-9742-5037","affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Guangdong–Hong Kong–Macau Joint Laboratory for Smart Cities, Key Laboratory for Geo-Environmental Monitoring of Coastal Zone, Ministry of Natural Resources, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961","https://openalex.org/I211433327"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5057895402"],"corresponding_institution_ids":["https://openalex.org/I180726961","https://openalex.org/I211433327"],"apc_list":null,"apc_paid":null,"fwci":4.0514,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.94557486,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9873999953269958,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8837504386901855},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6176092624664307},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5694030523300171},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5351356863975525},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4685405492782593},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.43325936794281006},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.23654481768608093},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13056784868240356}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8837504386901855},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6176092624664307},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5694030523300171},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5351356863975525},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4685405492782593},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.43325936794281006},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.23654481768608093},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13056784868240356}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2023.3344787","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3344787","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2241996831","display_name":null,"funder_award_id":"RCJC20221008092731042","funder_id":"https://openalex.org/F4320336569","funder_display_name":"Shenzhen Science and Technology Innovation Program"},{"id":"https://openalex.org/G2721654555","display_name":null,"funder_award_id":"2022A1515011290","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G3246884017","display_name":null,"funder_award_id":"KQTD20200909113951005","funder_id":"https://openalex.org/F4320336569","funder_display_name":"Shenzhen Science and Technology Innovation Program"},{"id":"https://openalex.org/G3433068557","display_name":null,"funder_award_id":"62271327","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4127476294","display_name":null,"funder_award_id":"2023KCXTD029","funder_id":"https://openalex.org/F4320326279","funder_display_name":"Department of Education of Guangdong Province"},{"id":"https://openalex.org/G5489719569","display_name":null,"funder_award_id":"JCYJ20220818100206015","funder_id":"https://openalex.org/F4320336569","funder_display_name":"Shenzhen Science and Technology Innovation Program"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320326279","display_name":"Department of Education of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320336569","display_name":"Shenzhen Science and Technology Innovation Program","ror":null},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W1525962950","https://openalex.org/W1983848563","https://openalex.org/W1989655334","https://openalex.org/W1999334096","https://openalex.org/W2036061791","https://openalex.org/W2047528185","https://openalex.org/W2084298421","https://openalex.org/W2130774035","https://openalex.org/W2136251662","https://openalex.org/W2163241116","https://openalex.org/W2417835980","https://openalex.org/W2494022581","https://openalex.org/W2515306179","https://openalex.org/W2561652363","https://openalex.org/W2613743774","https://openalex.org/W2774589172","https://openalex.org/W2784301945","https://openalex.org/W2907037052","https://openalex.org/W2948256530","https://openalex.org/W2955775727","https://openalex.org/W2979348177","https://openalex.org/W2995228464","https://openalex.org/W2998213992","https://openalex.org/W2999446243","https://openalex.org/W3005379812","https://openalex.org/W3007459273","https://openalex.org/W3011052870","https://openalex.org/W3013868170","https://openalex.org/W3016663000","https://openalex.org/W3018480016","https://openalex.org/W3036016333","https://openalex.org/W3047415197","https://openalex.org/W3125460671","https://openalex.org/W3131500599","https://openalex.org/W3132859298","https://openalex.org/W3138463575","https://openalex.org/W3138516171","https://openalex.org/W3159551017","https://openalex.org/W3171853541","https://openalex.org/W3174236562","https://openalex.org/W3204166336","https://openalex.org/W3204614423","https://openalex.org/W3209110473","https://openalex.org/W3214821343","https://openalex.org/W3217623145","https://openalex.org/W4210794570","https://openalex.org/W4220663335","https://openalex.org/W4224305240","https://openalex.org/W4226015333","https://openalex.org/W4226364678","https://openalex.org/W4281758358","https://openalex.org/W4285207472","https://openalex.org/W4292265241","https://openalex.org/W4292825900","https://openalex.org/W4294811369","https://openalex.org/W4313524854","https://openalex.org/W4367320924","https://openalex.org/W4376862737","https://openalex.org/W4379470170","https://openalex.org/W4386212324","https://openalex.org/W6739901393"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2385371209","https://openalex.org/W4250051149","https://openalex.org/W2083270190","https://openalex.org/W1991437568","https://openalex.org/W2033914206","https://openalex.org/W2042327336","https://openalex.org/W2291489469","https://openalex.org/W2546503577"],"abstract_inverted_index":{"Forests":[0],"play":[1],"an":[2,89,180],"irreplaceable":[3],"role":[4],"in":[5,13,54,95,251],"carbon":[6,15,39,271],"sinks.":[7],"However,":[8],"there":[9],"are":[10],"obvious":[11],"differences":[12],"the":[14,23,33,37,43,140,147,170,203,206,209,221,234,245,258],"sink":[16,272],"capacity":[17],"of":[18,28,46,80,120,236,247,261],"different":[19],"tree":[20,56,81,86,121,150,215,230,248,262],"species,":[21,57],"so":[22],"scientific":[24],"and":[25,51,73,77,113,142,152,198,201,208,227,255,269],"accurate":[26,118,199,229],"identification":[27],"surface":[29],"forest":[30,253],"vegetation":[31],"is":[32,88,107,134,161,177],"key":[34,76],"to":[35,42,64,71,83,92,109,137,183,186],"achieving":[36,117],"double":[38],"goal.":[40],"Due":[41],"disordered":[44],"distribution":[45],"trees,":[47],"varied":[48],"crown":[49],"geometry,":[50],"high":[52],"difficulty":[53],"labeling":[55],"traditional":[58],"methods":[59],"have":[60],"a":[61,102,129,157],"poor":[62],"ability":[63],"represent":[65],"complex":[66,252],"spatial\u2013spectral":[67,166],"structures.":[68],"Therefore,":[69],"how":[70],"quickly":[72],"accurately":[74,138],"obtain":[75,225],"subtle":[78],"features":[79,144,168],"species":[82,87,122,151,216,231,249,263],"finely":[84],"identify":[85],"urgent":[90],"problem":[91,246],"be":[93],"solved":[94],"current":[96],"research.":[97],"To":[98],"address":[99],"these":[100],"issues,":[101],"texture-aware":[103],"self-attention":[104,185],"model":[105],"(TASAM)":[106],"proposed":[108,222],"improve":[110],"spatial":[111,131],"contrast":[112],"overcome":[114],"spectral":[115],"variance,":[116],"classification":[119,232,250],"hyperspectral":[123,217],"images":[124],"(HSIs).":[125],"In":[126,155],"our":[127],"model,":[128],"nested":[130],"pyramid":[132],"module":[133,160],"first":[135],"constructed":[136],"extract":[139,195],"multiview":[141],"multiscale":[143],"that":[145,220],"highlight":[146],"distinction":[148,204],"between":[149,205],"surrounding":[153],"backgrounds.":[154],"addition,":[156],"cross-spectral\u2013spatial":[158],"attention":[159],"designed,":[162],"which":[163],"can":[164,224,242,256],"capture":[165],"joint":[167],"over":[169],"entire":[171],"image":[172],"domain.":[173],"The":[174],"Gabor":[175],"feature":[176],"introduced":[178],"as":[179],"auxiliary":[181],"function":[182],"guide":[184],"autonomously":[187],"focus":[188],"on":[189,213,275],"latent":[190],"space":[191],"texture":[192],"features,":[193],"further":[194],"more":[196,228],"appropriate":[197],"information,":[200],"enhance":[202],"target":[207],"background.":[210],"Verification":[211],"experiments":[212],"three":[214],"datasets":[218],"prove":[219],"method":[223,241],"finer":[226],"under":[233],"condition":[235],"limited":[237],"labeled":[238],"samples.":[239],"This":[240],"effectively":[243],"solve":[244],"structures":[254],"meet":[257],"application":[259],"requirements":[260],"diversity":[264],"monitoring,":[265],"forestry":[266,270],"resource":[267],"investigation,":[268],"analysis":[273],"based":[274],"HSIs.":[276]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}